Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 38,731 to 38,740 of 223,469 articles

Language-Assisted Image Clustering Guided by Discriminative Relational Signals and Adaptive Semantic Centers

arXiv Mar 25, 2026
Language-Assisted Image Clustering (LAIC) augments the input images with additional texts with the help of vision-language models (VLMs) to promote clustering performance. Despite recent progress, existing LAIC methods often overlook two issues: (i) ... read more 
Machine Learning

VERIA: Verification-Centric Multimodal Instance Augmentation for Long-Tailed 3D Object Detection

arXiv Mar 25, 2026
Long-tail distributions in driving datasets pose a fundamental challenge for 3D perception, as rare classes exhibit substantial intra-class diversity yet available samples cover this variation space only sparsely. Existing instance augmentation metho... read more 
Computer Vision and Pattern Recognition

AMIF: Authorizable Medical Image Fusion Model with Built-in Authentication

arXiv Mar 25, 2026
Multimodal image fusion enables precise lesion localization and characterization for accurate diagnosis, thereby strengthening clinical decision-making and driving its growing prominence in medical imaging research. A powerful multimodal image fusion... read more 
Computer Vision and Pattern Recognition

Connecting Meteorite Spectra to Lunar Surface Composition Using Hyperspectral Imaging and Machine Learning

arXiv Mar 25, 2026
We present an innovative, cost-effective framework integrating laboratory Hyperspectral Imaging (HSI) of the Bechar010 Lunar meteorite with ground-based lunar HSI and supervised Machine Learning(ML) to generate high-fidelity mineralogical maps. A 3mm... read more 
Earth and Planetary Astrophysics astro-ph.IM cs.LG

Boosting Document Parsing Efficiency and Performance with Coarse-to-Fine Visual Processing

arXiv Mar 25, 2026
Document parsing is a fine-grained task where image resolution significantly impacts performance. While advanced research leveraging vision-language models benefits from high-resolution input to boost model performance, this often leads to a quadrati... read more 
Computer Vision and Pattern Recognition cs.AI cs.IR

Le MuMo JEPA: Multi-Modal Self-Supervised Representation Learning with Learnable Fusion Tokens

arXiv Mar 25, 2026
Self-supervised learning has emerged as a powerful paradigm for learning visual representations without manual annotations, yet most methods still operate on a single modality and therefore miss the complementary structure available from heterogeneou... read more 
Computer Vision and Pattern Recognition

Language-Guided Structure-Aware Network for Camouflaged Object Detection

arXiv Mar 25, 2026
Camouflaged Object Detection (COD) aims to segment objects that are highly integrated with the background in terms of color, texture, and structure, making it a highly challenging task in computer vision. Although existing methods introduce multi-sca... read more 
Computer Vision and Pattern Recognition cs.AI

GeoRouter: Dynamic Paradigm Routing for Worldwide Image Geolocalization

arXiv Mar 25, 2026
Worldwide image geolocalization aims to predict precise GPS coordinates for images captured anywhere on Earth, which is challenging due to the large visual and geographic diversity. Recent methods mainly follow two paradigms: retrieval-based approach... read more 
Computer Vision and Pattern Recognition

ViHOI: Human-Object Interaction Synthesis with Visual Priors

arXiv Mar 25, 2026
Generating realistic and physically plausible 3D Human-Object Interactions (HOI) remains a key challenge in motion generation. One primary reason is that describing these physical constraints with words alone is difficult. To address this limitation,... read more 
Computer Vision and Pattern Recognition

Causal Transfer in Medical Image Analysis

arXiv Mar 25, 2026
Medical imaging models frequently fail when deployed across hospitals, scanners, populations, or imaging protocols due to domain shift, limiting their clinical reliability. While transfer learning and domain adaptation address such shifts statistical... read more 
Computer Vision and Pattern Recognition
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